For reinforcement learning training pipelines where AI-generated code is evaluated in sandboxes across potentially untrusted workers, the threat model is both the code and the worker. You need isolation in both directions, which pushes toward microVMs or gVisor with defense-in-depth layering.
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Foundational to this approach is the need to cross from the Unreal C++ boundary into the C# DLL code. This boundary is inherently risky as it lacks much of the standard safety checks we normally rely on in managed code.
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